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Join SAS at DIA 2017

Booth 2036
June 18 - 22
McCormick Place
Chicago

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From discovery to doctor – and all the data in between

That’s the power of analytics. Learn how SAS® helps you target better opportunities.

Medical development data is bigger than ever and growing. Here’s how our leading advanced analytics, combined with real-world patient data, lets you take advantage of it:

  • Data management and analytics optimization for clinical trials.
  • Analytics scalability for complex simulations and big data computation.
  • Machine learning in clinical research.

Reasons to visit us at DIA 2017:

  • Learn about visualization for clinical trial monitoring and investigation.
  • Explore our comprehensive analytical environment that supports trial design, evaluation and submission.
  • Employ proven tools and capabilities to manage the operational delivery of your clinical trials and improve your overall quality and efficiency.
  • Tap into a robust suite of advanced analytics tools to empower your data scientists to make decisions on real-world data using best-in-class methods.
  • Learn how SAS users are applying our newest technologies to improve some of the industry’s oldest problems.
  • Register for a chance to win a Yeti cooler.

 

See SAS in Booth 2036

We’ll offer short presentations of the SAS solutions that can help reduce your costs and advance therapies with the most promise. Join our experts to explore how SAS can give your organization a competitive advantage.

 

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SAS Innovation Theater Presentation

Monday, June 19 | 2 - 2:30 p.m. | Theater No. 2


Clinical Analytics Workflow Optimization
Managing a clinical trial analytics exercise is filled with opportunity to optimize workflow. Join SAS to learn how you can manage all analytics tasks in parallel. See the advantages of a connected repository and analytics environment as well as scalability for any size analytics task – from simulations to computation on big data. See how to minimize the effort required to create compliant data sets. Share our vision for the clinical trial analytics environment of the future – ready today.
 

Meet the SAS Experts:

Speaker 1

Matt Becker, Principal Industry Consultant and Life Science Team Lead, SAS

Becker has been a Principal Industry Consultant at SAS since 2013. Prior to joining SAS, he had been using SAS in the life sciences industry since 1988, with focus areas of clinical programming, clinical data management and clinical visualizations. He has presented numerous papers and won best paper awards at DIA, PharmaSUG, SUGI, SAS Global Forum, PHUSE, PharmaSUG China and numerous regional users group meetings.

Speaker 2

Mike Henderson, Sr. Manager of Industry Consulting and Analytics

A lifetime learner with a background in statistics, Henderson is passionate about accurately quantifying the patient experience in health care through better drug/device evaluation in research, development, clinical and market settings. He holds degrees in mathematics (BS) and statistics (MS) from the University of Georgia and continues to further his education in many areas. Before joining SAS in 2012, Henderson managed biostatistics for a Johnson & Johnson division focused on drugs, medical devices and combination products for vision care.


Also don’t miss:

Wednesday, June 21 | 2 - 3:15 p.m.

Session 337 – Big Data: Management and Analytics
Identify how to use big data analytics to develop new insights from patient data.

Big Data Analytics to Historical Cancer Research Data: Project Data Sphere Oncology Data-Sharing Experiment
David Olaleye, Senior Manager and Principal Research Statistician, SAS

Indication Expansion and Drug Positioning: Opportunities for Translational Sciences

Lun Yang, Deputy Director, Indication Expansion, Bayer

Project Data Sphere: Building a Data Sharing Platform and Research Community to Advance Cancer Treatment

Dave Handelsman, Vice President of Development, Project Data Sphere  

Stop by Booth 2036 for a chance to win

Yeti Hopper 20 Cooler

 

Chat with our experts and enter for a chance to win a Yeti Hopper cooler.

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